Explore your data with unprecedented speed, power, & maneuverability. #GraphXR combines link analysis & data science capabilities with a low-friction interface.
A single promo code can travel fast—racing through look‑alike accounts and recycled devices, often causing a spike in cash‑outs by day's end.
With #GraphXR, we visualize these patterns, turning a silent leak into a thread you can cut before losses mount.
#PromoAbuse
Visualize webs of connections of the serial fraudster Bill Mize, as we walk you through our new #genAI tool, SightXR. We'll explore the synergy between AI’s text evaluation and Q&A capability with the graph visual representation of the knowledge itself.
🎥https://t.co/qDxxla2mv0
Locally hosted #LLMs can preserve data privacy, yet yield detailed knowledge maps. With strategic chunking & tailored prompts, #MistralInstruct 7b compares well with #OpenAI’s GPT-4 to extract insight as linked entities & relationships.
Read more: https://t.co/d19LghjMx5
@GraphXR 2.15 Enterprise features Project Templates which allow admins to customize individual projects by adjusting:
- Global settings-node/edge size, caption size & position
- Colors & icons for categories & relationships
- Visible/hidden UI elements
https://t.co/CoZopgL3gn
Faster, easier, and more customizable: @GraphXR version 2.15 is now live, with 6x faster rendering, 80% faster node deletion, & 50x faster shortcut transforms. Check out all the new features!
https://t.co/CoZoph3cuv #visual#graphanalytics#datavisualization
Leading another #GraphXR workshop this Friday at 10am PST for all those visual learners diving into graph analytics!
No prior experience needed. RSVP below & get started today! https://t.co/qMhAgC3gh4 #graphanalytics#datavisualization#NoCodeNovember
See how you can model patient journeys at scale in this talk w/ @aareiass and Marjorie Kang at #NODES2022.
Register for Nov 16 at 2:20pm PT to dive into MIMIC-IV data of pneumonia patients using @Neo4j & @GraphXR for #visualization and #analysis: https://t.co/E5QeDiSco8 #graph
Tune into a live presentation with Weidong Yang on how graph visualization can be used to drive rapid insights for intelligence analysts to expose collusion.
RSVP NOW for this talk w/ Q&A on Weds, Sept 14th, at 4pm PDT / 7pm EDT! https://t.co/yiOTmtgJRL
Being remote can make it hard to understand work distribution across teams. That’s where #PM tools like @JIRA & @Airtable integrated with #datavisualization can really help paint the bigger picture.
Learn how w/ @GraphXR in this blog today! https://t.co/ant9l4dVfj @Neo4j#graph
Graph technology with a visualization-first approach provides you with a proactive intelligence tool to more effectively detect and investigate fraud. Start with #GraphXR for #AntiFraud today: https://t.co/EetMVtR2oD
“What are we not seeing when it comes to fraud?”
A visualization-first approach to #fraudanalysis and #fraudinvestigation leverages the graph to reveal patterns of #collusion. Learn how to accelerate fraud detection with #visualization-first analytics at https://t.co/ix0OZcN6CV
Data visualization can become an important ally in addressing the ever-changing challenges of combating fraud. Utilize graph science and analysis for #fraudinvestigations to better support detection and deterrence on the ground. Learn today ✍️https://t.co/ix0OZcN6CV #whitepapers
New feature alert 🚨 in GraphXR 2.13!
Try out Collection Nodes to collapse large clusters into a single node without losing access to the underlying data. Learn more about the latest enhancements to #GraphXR today! 👉 https://t.co/CquMWUKhIH #DataVisualization#GraphAnalytics